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Kursteilnehmer-Bewertung und -Feedback für Data Visualization with Python von IBM

4.6
4,671 Bewertungen
517 Bewertungen

Über den Kurs

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top-Bewertungen

SS

Nov 21, 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

MS

Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

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251 - 275 von 510 Bewertungen für Data Visualization with Python

von Manea S I

Sep 14, 2019

nice

von Shannon C R

Sep 17, 2019

Great!

The course teaches how to make awesome graphs, interactive maps, and more!

Thanks!

von Hadi S

Jun 14, 2019

This course helped me to learn data visualization with Python in more details.

von JIAQI D

Jun 10, 2019

Informative!

von R A N

Jun 15, 2019

Very informative course and need more practical work

von Viktor B

Jun 15, 2019

Best end lab ever!

von Чернова И Р

May 27, 2019

It is quite difficult and challenging course but useful and important one

von Josemar T M d S

Sep 19, 2019

O Curso é muito bom. Agraga conhecimento.

von Lola G

Sep 20, 2019

The course is challenging and informative.

von Vaddi J C P B

Sep 19, 2019

Let's you know the methods and techniques that you can work on real-time scenarios. Final assignment will make you feel great letting you to work from scratch.

von Neha T

Sep 21, 2019

It was an excellent course!!

von Vivek K

Sep 22, 2019

Great hands-on experience

von YUN L

Sep 24, 2019

Very useful course for data visualization with python!

von Luis A d F A

Sep 24, 2019

Great!

von Ariful H K

Sep 25, 2019

Need to study again. It took longer time than other courses and lot more things to learn from net.

von Bill G

Oct 17, 2019

Very Good Course!

Really opens up a new world when you can see the results of lines of code.

von Tianxuan C

Oct 18, 2019

Labs and assignments are very valuable.

von Lakshminarayana D

Sep 29, 2019

Great Learning. A truly good course which is very apt to the title. Learning clearly on the data distribution plots like Scatter, Boxplots, Folium and Geopandas. Must Learn.

von Diego S

Sep 28, 2019

The labs and final test is awesome!!

von Sean R

Sep 27, 2019

I learned a lot in this course. The final project really challenged me and was a good way to wrap up the course.

von Parag S

Oct 20, 2019

Excellent Content

von Javed A

Oct 22, 2019

What an outstanding way to learn such crucial skills from the world's best platform of Coursera.

I am feeling really proud to complete the course.

IBM Skills network labs are just speechless.

Jupyter notebook is just an amazing tool.

von Jose R

Oct 04, 2019

GREATE COURSE

von Parab N S

Oct 07, 2019

An excellent course on Data Visualization with Python by IBM

von Zhengweifan

Oct 07, 2019

really complex and useful